Research on IOT online monitoring system based on efficient utilization pathway of mine water

Lei Bo, Zihang Zhang, Yang Liu, Zecheng Li
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Abstract

There are problems such as communication lag and data silo in dynamic processing and reuse of mine water resource utilization. In this paper, the framework of mine water online monitoring IOT system is researched for the real situation of mine water resource utilization, and the collaborative scheduling model and algorithm of mine water multi-subsystem is constructed based on the characteristics of rapid data concentration under this framework. For the mine water treatment process on the processing unit water quality information can not be obtained in a timely manner and scheduling timeliness and other problems, based on the Internet of Things to achieve intelligent perception of mine water quality data, equipment status information, the establishment of a full sense database, multi-sensor data fusion of mine water quality monitoring three-dimensional network, data-driven to enhance the underground - ground collaborative scheduling of rapid and accurate response to changes in water supply demand; the introduction of Cloud service platform to strengthen the performance analysis and online prediction of mine water dispatching system, enhance the decision-making capability of mine water dispatching system, improve the comprehensive utilization rate of mine water, and realize the status monitoring, performance prediction and optimal control of mine water dispatching system.
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基于矿井水高效利用路径的物联网在线监测系统研究
矿井水资源利用动态处理与回用中存在通信滞后、数据孤岛等问题。本文针对矿山水资源利用的实际情况,研究了矿井水在线监测物联网系统框架,并基于该框架下数据快速集中的特点,构建了矿井水多子系统协同调度模型和算法。针对矿井水处理过程中处理单元上的水质信息不能及时获取和调度及时性等问题,基于物联网实现对矿井水质数据、设备状态信息的智能感知,建立全感数据库、多传感器数据融合的矿井水质监测立体网络;数据驱动增强了地下-地面协同调度对供水需求变化的快速准确响应;引入云服务平台,加强矿井水调度系统的性能分析和在线预测,增强矿井水调度系统的决策能力,提高矿井水的综合利用率,实现矿井水调度系统的状态监测、性能预测和最优控制。
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